Song, Yang and Wu, Chen and Zhu, Sencun and Wang, Haining (2019) A Machine Learning Based Approach for Mobile App Rating Manipulation Detection. EAI Endorsed Transactions on Security and Safety.
![[thumbnail of 30338.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "30338.pdf")
PDF
30338.pdf
Download (2MB)
Abstract
In order to promote apps in mobile app stores, for malicious developers and users, manipulating average rating is a popular and feasible way. In this work, we propose a two-phase machine learning approach to detecting app rating manipulation attacks. In the first learning phase, we generate feature r
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 11:50 |
| Last Modified: | 12 Apr 2026 05:28 |
| URI: | http://eprints.eai.eu/id/eprint/21173 |
Actions (login required)
- View Item